Isbn: 9781799834564 - biomedical computing for breast cancer detection and diagnosis (advances in bioinformatics and biomedical engineering) (13 resultados)

hardcover. Condición: Very Good. Review Copy stamp on bottom of textblock. Otherwise, like new. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.

Condición: New.

Condición: New. In.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. 1st.

Hardback. Condición: New. 1st.

hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a review of the physiology and anatomy of the breast the dynamics of breast cancer principles of pattern recognition, artificial neural networks, and computer graphics and the breast imaging techniques and computational methods to support and op.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. Biomedical Computing for Breast Cancer Detection and Diagnosis is a collection of research that presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis. While highlighting topics including mammograms, thermographic imaging, and intelligent systems, this book is ideally designed for medical oncologists, surgeons, biomedical engineers, medical imaging professionals, cancer researchers, academicians, and students in medicine, biomedicine, biomedical engineering, and computer science.…